/gemini-computer-use

name: gemini-computer-use
description: Build and run Gemini 2.5 Computer Use browser-control agents with Playwright. Use when a user wants to automate web browser tasks via the Gemini Computer Use model, needs an agent loop (screenshot → function_call → action → function_response), or asks to integrate safety confirmation for risky UI actions.

Gemini Computer Use

Quick start

1. Source the env file and set your API key:

   cp env.example env.sh
   $EDITOR env.sh
   source env.sh

2. Create a virtual environment and install dependencies:

   python -m venv .venv
   source .venv/bin/activate
   pip install google-genai playwright
   playwright install chromium

3. Run the agent script with a prompt:

   python scripts/computer_use_agent.py \
     --prompt "Find the latest blog post title on example.com" \
     --start-url "https://example.com" \
     --turn-limit 6

Browser selection

• Default: Playwright's bundled Chromium (no env vars required).
• Choose a channel (Chrome/Edge) with `COMPUTER_USE_BROWSER_CHANNEL`.
• Use a custom Chromium-based executable (e.g., Brave) with `COMPUTER_USE_BROWSER_EXECUTABLE`.

If both are set, `COMPUTER_USE_BROWSER_EXECUTABLE` takes precedence.

Core workflow (agent loop)

1. Capture a screenshot and send the user goal + screenshot to the model. 2. Parse `function_call` actions in the response. 3. Execute each action in Playwright. 4. If a `safety_decision` is `require_confirmation`, prompt the user before executing. 5. Send `function_response` objects containing the latest URL + screenshot. 6. Repeat until the model returns only text (no actions) or you hit the turn limit.

Operational guidance

• Run in a sandboxed browser profile or container.
• Use `--exclude` to block risky actions you do not want the model to take.
• Keep the viewport at 1440x900 unless you have a reason to change it.

Resources

• Script: `scripts/computer_use_agent.py`
• Reference notes: `references/google-computer-use.md`
• Env template: `env.example`